[HTML][HTML] Demographic analyses of citizen science

KA Dibner, R Pandya… - Learning through …, 2018 - ncbi.nlm.nih.gov
KA Dibner, R Pandya, National Academies of Sciences, Engineering, and Medicine
Learning through citizen science: Enhancing opportunities by design, 2018ncbi.nlm.nih.gov
Pandya (2012) points out that participation in citizen science, at least in the United States,
does not reflect the demographics of the population, and that this schism hurts both citizen
science and unrepresented groups. There is a generalized assumption that participants in
citizen science are generally white, older/retired females with above average education.
However, there are no analyses across the citizen science community exploring this
assertion. To address that gap in service of this report, we cite three different analyses of …
Pandya (2012) points out that participation in citizen science, at least in the United States, does not reflect the demographics of the population, and that this schism hurts both citizen science and unrepresented groups. There is a generalized assumption that participants in citizen science are generally white, older/retired females with above average education. However, there are no analyses across the citizen science community exploring this assertion. To address that gap in service of this report, we cite three different analyses of participation data. The first is a simple analysis of reported participant data on online citizen science aggregator platform SciStarter 2.0 (SciStarter, 2018), the second is a published analyses of participant data, and the third is an original meta-analysis of published literature on citizen science projects reporting participant data.
ncbi.nlm.nih.gov
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